Job Description
Job Description
Analytics Engineer
Department: Engineering
Reports to: Engineering Manager
Full Time – Exempt (Salary)
Salary Range: $110,000-$160,000
Location: Remote
Company Description:
Revive offers technology solutions to help brands maximize inventory productivity via data-driven refurbishment services. We are creating circular & sustainable collections with brand partners by extending the life of every garment we touch. Revive’s focus on technology, innovation, and sustainability is changing how consumers and brands view the garments they buy and produce.
Job Summary
We are seeking an Analytics Engineer to help us make informed decisions from our data today, and help us build and transform our data to give us even more strength in the future. You will work directly with business stakeholders to understand what reports and insights they’re missing, understand what raw data will be necessary to fill that need, and then use dbt to transform this data into a useful form for our BI tool and downstream reporting. You will have ownership over the transformation of our raw data into clean, usable forms, as well as developing reports and providing the insights that are powered by this data. You will be successful in this role if you thrive when you’re able to own a problem from discovery through development, and if you enjoy setting up new patterns and paradigms to set our team up for success in the future.
This job description is intended to describe the general nature and level of work performed by an Analytics Engineer at Hemster, Inc dba Revive. It is not intended to include all duties, responsibilities and activities. Duties, responsibilities and activities may change at any time with or without notice.
Duties / Responsibilities:
- Develop new dbt code to enhance our data models and deepen our understanding of our data
- Support business partners through the development of dashboards, reports, and data visualizations that enable us to make decisions with confidence
- Continuously develop and build upon our data model to support our business needs, and develop data marts to be exposed through our BI tool
- Effectively communicate and understand complex business activities, technical requirements, and recommendations to the relevant stakeholders
- Identify opportunities to expand our data capabilities through new technologies and tools
Requirements:
- >5 years of professional experience working as an Analytics Engineer, Data Engineer, or Data Analyst role or comparable experience
- Thrived at early stage startups and experience with spinning up new data capabilities
- Exceptionally strong with SQL and dbt
- Experience using Google BigQuery
- Strong knowledge of manipulating and modeling large data sets
- Experience with at least one BI tool
- You’re familiar with the challenges that an eCommerce platform faces in terms of the data that buyers need to make decisions, and have experience building data models to support this business
Preferred Qualifications:
- Background in ecommerce or with companies within or adjacent to the fashion industry
- Experience with Airbyte and Metabase
- Experience using Python or R for data manipulation and analysis
- You relish the opportunity to join a small team that’s growing aggressively, and take a part in defining the future of our company
- You work best when you’re given ownership to solve problems, not simply take solutions that are handed to you
- You incorporate new tools that enable you to be more efficient into your workflow
- You want to join a team that encourages moving fast, taking calculated risks, and supports learning from our mistakes
- You communicate frequently, and know when it’s the right time to bring other people in for support
Position Type / Expected Hours of Work:
This is a full-time, exempt position, with typical work hours of 40 hours per week, Monday through Friday.
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